| Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation SC Zhu, A Yuille IEEE transactions on pattern analysis and machine intelligence 18 (9), 884-900, 1996 | 3122 | 1996 |
| High performance visual tracking with siamese region proposal network B Li, J Yan, W Wu, Z Zhu, X Hu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2158 | 2018 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2036 | 2015 |
| Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling SC Zhu, Y Wu, D Mumford International Journal of Computer Vision 27, 107-126, 1998 | 1012 | 1998 |
| Image segmentation by data-driven Markov chain Monte Carlo Z Tu, SC Zhu Pattern Analysis and Machine Intelligence, IEEE Transactions on 24 (5), 657-673, 2002 | 871 | 2002 |
| Image parsing: Unifying segmentation, detection, and recognition Z Tu, X Chen, AL Yuille, SC Zhu International Journal of computer vision 63, 113-140, 2005 | 869 | 2005 |
| Visual interpretability for deep learning: a survey Q Zhang, SC Zhu Frontiers of Information Technology & Electronic Engineering 19 (1), 27-39, 2018 | 785 | 2018 |
| Interpretable convolutional neural networks Q Zhang, YN Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 735 | 2018 |
| On advances in statistical modeling of natural images A Srivastava, AB Lee, EP Simoncelli, SC Zhu Journal of mathematical imaging and vision 18, 17-33, 2003 | 680 | 2003 |
| A stochastic grammar of images SC Zhu, D Mumford Foundations and Trends® in Computer Graphics and Vision 2 (4), 259-362, 2006 | 668 | 2006 |
| Minimax entropy principle and its application to texture modeling SC Zhu, YN Wu, D Mumford Neural Computation 9 (8), 1627-1660, 1997 | 572 | 1997 |
| Learning human-object interactions by graph parsing neural networks S Qi, W Wang, B Jia, J Shen, SC Zhu Proceedings of the European conference on computer vision (ECCV), 401-417, 2018 | 488 | 2018 |
| Cross-view action modeling, learning and recognition J Wang, X Nie, Y Xia, Y Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 476 | 2014 |
| Prior learning and Gibbs reaction-diffusion SC Zhu, D Mumford IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (11), 1236 …, 1997 | 467 | 1997 |
| Forms: a flexible object recognition and modelling system SC Zhu, AL Yuille International journal of computer vision 20 (3), 187-212, 1996 | 451 | 1996 |
| Statistical edge detection: Learning and evaluating edge cues S Konishi, AL Yuille, JM Coughlan, SC Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (1), 57-74, 2003 | 445 | 2003 |
| I2t: Image parsing to text description BZ Yao, X Yang, L Lin, MW Lee, SC Zhu Proceedings of the IEEE 98 (8), 1485-1508, 2010 | 380 | 2010 |
| Textons SC Zhu, Y Wu Computer Vision: Statistical Models for Marr's Paradigm, 97-130, 2023 | 379* | 2023 |
| A compositional and dynamic model for face aging J Suo, SC Zhu, S Shan, X Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (3), 385-401, 2009 | 358 | 2009 |
| Learning pose grammar to encode human body configuration for 3d pose estimation HS Fang, Y Xu, W Wang, X Liu, SC Zhu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 319 | 2018 |
Ying Nian WuUCLA Department of Statistics在 stat.ucla.edu 的電子郵件地址已通過驗證
